MultiWoZ 2.0 [1]} is a large-scale human to human English dialog dataset, which consists of dialogs on domains including restaurant, hotel, attraction, train, and taxi. It also includes dialogs that span multiple domains. The system response in MultiWoz dataset is stochastic, as human clerks have the freedom to choose from the possible actions. The actions are annotated by human annotators, which are noisy as well.
These features make MultiWoZ a more challenging task compared with SimDial. We used a variant of MultiWoZ 2.0 provided by ConvLab [2]}, which has annotated user actions.
